Speech emotion detection using supervised, unsupervised and feature selection algorithms

Speech emotion detection using supervised, unsupervised and feature selection algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Detalhes bibliográficos
Principais autores: Rifat, Abu Nuraiya Mahfuza Yesmin, Biswas, Aditi, Chowdhury, Nadia Farhin
Outros Autores: Uddin, Jia
Formato: Tese
Idioma:English
Publicado em: BRAC University 2019
Assuntos:
SER
MFCC
Random forest
Gradient boosting
SVM
CNN
RFE
P-Value
PCA
Supervised learning (Machine learning)
Acesso em linha:http://hdl.handle.net/10361/12287

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